| Detnas: Backbone search for object detection Y Chen, T Yang, X Zhang, G Meng, X Xiao, J Sun Advances in Neural Information Processing Systems (NeurIPS), 2019 | 416* | 2019 |
| Lisa: Reasoning segmentation via large language model X Lai, Z Tian, Y Chen, Y Li, Y Yuan, S Liu, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 382 | 2024 |
| Openpcdet: An open-source toolbox for 3d object detection from point clouds OD Team | 285 | 2020 |
| Longlora: Efficient fine-tuning of long-context large language models Y Chen, S Qian, H Tang, X Lai, Z Liu, S Han, J Jia International Conference on Learning Representations (ICLR), 2024 | 282 | 2024 |
| VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking Y Chen, J Liu, X Zhang, X Qi, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 273 | 2023 |
| Focal Sparse Convolutional Networks for 3D Object Detection Y Chen, Y Li, X Zhang, J Sun, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5428-5437, 2022 | 272 | 2022 |
| Grounded sam: Assembling open-world models for diverse visual tasks T Ren, S Liu, A Zeng, J Lin, K Li, H Cao, J Chen, X Huang, Y Chen, F Yan, ... arXiv preprint arXiv:2401.14159, 2024 | 241 | 2024 |
| Learning dynamic routing for semantic segmentation Y Li, L Song, Y Chen, Z Li, X Zhang, X Wang, J Sun IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 8553-8562, 2020 | 210 | 2020 |
| Renas: Reinforced evolutionary neural architecture search Y Chen, G Meng, Q Zhang, S Xiang, C Huang, L Mu, X Wang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4787-4796, 2019 | 186* | 2019 |
| Spherical Transformer for LiDAR-based 3D Recognition X Lai, Y Chen, F Lu, J Liu, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 153 | 2023 |
| LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs Y Chen, J Liu, X Zhang, X Qi, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 144* | 2023 |
| Scale-aware Automatic Augmentations for Object Detection with Dynamic Training Y Chen, P Zhang, T Kong, Y Li, X Zhang, L Qi, J Sun, J Jia IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022 | 144* | 2022 |
| Voxel Field Fusion for 3D Object Detection Y Li, X Qi, Y Chen, L Wang, Z Li, J Sun, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1120-1129, 2022 | 107 | 2022 |
| Multi-Scale Aligned Distillation for Low-Resolution Detection L Qi, J Kuen, J Gu, Z Lin, Y Wang, Y Chen, Y Li, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 14443-14453, 2021 | 80 | 2021 |
| FocalFormer3D: Focusing on Hard Instance for 3D Object Detection Y Chen, Z Yu, Y Chen, S Lan, A Anandkumar, J Jia, J Alvarez IEEE International Conference on Computer Vision (ICCV), 2023 | 62 | 2023 |
| Fully convolutional networks for panoptic segmentation with point-based supervision Y Li, H Zhao, X Qi, Y Chen, L Qi, L Wang, Z Li, J Sun, J Jia IEEE transactions on pattern analysis and machine intelligence 45 (4), 4552-4568, 2022 | 61 | 2022 |
| Scale-aware automatic augmentation for object detection Y Chen, Y Li, T Kong, L Qi, R Chu, L Li, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 9563-9572, 2021 | 55 | 2021 |
| Spatial Pruned Sparse Convolution for Efficient 3D Object Detection J Liu*, Y Chen*, X Ye, Z Tian, X Tan, X Qi Advances in Neural Information Processing Systems (NeurIPS), 2022 | 40 | 2022 |
| Pointins: Point-based instance segmentation L Qi*, Y Wang*, Y Chen*, YC Chen, X Zhang, J Sun, J Jia IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021 | 36 | 2021 |
| Joint neural architecture search and quantization Y Chen, G Meng, Q Zhang, X Zhang, L Song, S Xiang, C Pan arXiv preprint arXiv:1811.09426, 2018 | 36 | 2018 |
Jiaya JiaChair Professor, HKUST; Adjunct Prof., CUHKVerified email at cse.ust.hk
